Triple

T13517977
Position Surface form Disambiguated ID Type / Status
Subject Molching E322816 entity
Predicate hasBuilding P105 FINISHED
Object Molching school
Molching school is the local educational institution serving the children of the fictional German town of Molching, notably featured in Markus Zusak’s novel "The Book Thief."
E1044919 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Molching school | Statement: [Molching, hasBuilding, Molching school]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molching school
Context triple: [Molching, hasBuilding, Molching school]
  • A. Schull
    Schull is a small coastal village and popular tourist destination on the Mizen Peninsula in West County Cork, Ireland.
  • B. Minue School
    Minue School is a public elementary school serving young students in the community of Carteret, New Jersey.
  • C. Kateri School
    Kateri School is an educational institution serving the community of Kahnawà:ke, a Mohawk territory near Montreal, Canada.
  • D. The Free School
    The Free School was the original name of The Perse School, a long-established independent school in Cambridge, England.
  • E. Scuol
    Scuol is a Swiss alpine village in the Lower Engadine region of the canton of Graubünden, known for its mineral springs, traditional Romansh culture, and mountain tourism.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Molching school
Triple: [Molching, hasBuilding, Molching school]
Generated description
Molching school is the local educational institution serving the children of the fictional German town of Molching, notably featured in Markus Zusak’s novel "The Book Thief."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Molching school
Target entity description: Molching school is the local educational institution serving the children of the fictional German town of Molching, notably featured in Markus Zusak’s novel "The Book Thief."
  • A. Schull
    Schull is a small coastal village and popular tourist destination on the Mizen Peninsula in West County Cork, Ireland.
  • B. Minue School
    Minue School is a public elementary school serving young students in the community of Carteret, New Jersey.
  • C. Kateri School
    Kateri School is an educational institution serving the community of Kahnawà:ke, a Mohawk territory near Montreal, Canada.
  • D. The Free School
    The Free School was the original name of The Perse School, a long-established independent school in Cambridge, England.
  • E. Scuol
    Scuol is a Swiss alpine village in the Lower Engadine region of the canton of Graubünden, known for its mineral springs, traditional Romansh culture, and mountain tourism.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa27f048190bed33a98e28c8d09 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75496496c819093a9e763d293bcf7 completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f75619ab7081909ca0c113d9ea349e completed May 3, 2026, 2:05 p.m.
NED2 Entity disambiguation (via description) batch_69f7569429348190b6b1b901d5481921 completed May 3, 2026, 2:07 p.m.
Created at: April 9, 2026, 9:44 p.m.